Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.
- DOI
- 10.1186/s12859-021-04370-7
- Published
- 2021 Sep 22
- Container
- BMC bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12859-021-04370-7,
title = {Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.},
author = {Bourgeais V and Zehraoui F and Ben Hamdoune M and Hanczar B},
year = {2021},
journal = {BMC bioinformatics},
doi = {10.1186/s12859-021-04370-7},
url = {https://doi.org/10.1186/s12859-021-04370-7}
}RIS
TY - JOUR TI - Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data. AU - Bourgeais V AU - Zehraoui F AU - Ben Hamdoune M AU - Hanczar B PY - 2021 JO - BMC bioinformatics DO - 10.1186/s12859-021-04370-7 UR - https://doi.org/10.1186/s12859-021-04370-7 ER -
APA
V, B., F, Z., M, B. H., & B, H. (2021). Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.. BMC bioinformatics. https://doi.org/10.1186/s12859-021-04370-7
Source records
- pubmed · retrieved 2026-11-10T13:28:17.672Z